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- quasars: general (8)
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- rotation (8)
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- selection (8)
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- signal transduction (8)
- site effects (8)
- snow (8)
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- soil (8)
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- stars: activity (8)
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- statistics (8)
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- ADHD (7)
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- ensemble Kalman filter (7)
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- gender differences (7)
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- heterogeneous catalysis (7)
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- inference (7)
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- orthography (7)
- oscillations (7)
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- plasmonics (7)
- policy (7)
- porous materials (7)
- predator-prey dynamics (7)
- presidential government (7)
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- pronoun resolution (7)
- prosodic boundary cues (7)
- proteasome (7)
- pulsars: general (7)
- quality (7)
- quantification (7)
- recombination (7)
- repair (7)
- representation (7)
- reproducibility (7)
- retinol (7)
- rheology (7)
- roughness (7)
- secular trend (7)
- seismic hazard (7)
- shape-memory effect (7)
- sharing economy (7)
- silicon (7)
- size (7)
- social rejection (7)
- solar wind (7)
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- stabile Isotope (7)
- standardization (7)
- stars: late-type (7)
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- surfactants (7)
- tVNS (7)
- time series (7)
- transfer (7)
- transition (7)
- treeline (7)
- trunk (7)
- urbanization (7)
- verification (7)
- visualization (7)
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- wh-in-situ (7)
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- AFM (6)
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- Chytridiomycota (6)
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- Dynamic NMR (6)
- EEG/ERP (6)
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- Gammastrahlungsastronomie (6)
- Gene-environment interaction (6)
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- H II regions (6)
- HIREC (6)
- ISM: kinematics and dynamics (6)
- Insurance (6)
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- Lysiphlebus fabarum (6)
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- Rheologie (6)
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- Ring current effect (6)
- SDS-PAGE (6)
- Schadensmodellierung (6)
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- acid ceramidase (6)
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- anthropometry (6)
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- bias (6)
- biodegradable polymers (6)
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- change (6)
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- coherence (6)
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- cyber victimization (6)
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- data (6)
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- dielectrophoresis (6)
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- extension (6)
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- facilitation (6)
- fertilization (6)
- first passage (6)
- floodplain (6)
- fluorescence correlation spectroscopy (6)
- formal semantics (6)
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- gamma-rays: general (6)
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- organization (6)
- overweight (6)
- oxygen (6)
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- palaeoclimate (6)
- parameters (6)
- participation (6)
- pattern formation (6)
- perturbation (6)
- phase transition (6)
- phenology (6)
- phonetics (6)
- phosphate (6)
- phylogenetic diversity (6)
- piezoelectricity (6)
- plant (6)
- plants (6)
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- projections (6)
- propensity score matching (6)
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- rainfall (6)
- rat (6)
- reciprocal class (6)
- reduction (6)
- reflection (6)
- reproduction (6)
- residual stress (6)
- retinol-binding protein 4 (6)
- risk factor (6)
- saccades (6)
- salinity gradient (6)
- salivary gland (6)
- scale development (6)
- scattering (6)
- scrambling (6)
- sedaDNA (6)
- sediment transport (6)
- selenium (6)
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- sodium (6)
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- stimuli-sensitive polymers (6)
- stroke (6)
- sulfite oxidase (6)
- support vector machine (6)
- teaching (6)
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- thaliana (6)
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- thermokarst (6)
- thermoresponsive polymers (6)
- tomato (6)
- tomography (6)
- topography (6)
- tracking (6)
- trade-offs (6)
- training adaptation (6)
- traits (6)
- transcriptional memory (6)
- trust (6)
- ultrafast dynamics (6)
- uncertainty analysis (6)
- unemployment (6)
- uplift (6)
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- variation (6)
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- visions of democracy (6)
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- weight loss (6)
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- world literature (6)
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- 3D point clouds (5)
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- AC electrokinetics (5)
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- Absorption (5)
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- Assessment (5)
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- Chloroplast (5)
- Cognitive control (5)
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- Community assembly (5)
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- Cyanobakterien (5)
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- Extreme events (5)
- Eye movement (5)
- Feature selection (5)
- Fetal programming (5)
- Fire-bellied toad (5)
- Flood (5)
- Flow cytometry (5)
- Fluorescence imaging (5)
- Fokker-Planck equation (5)
- Food quality (5)
- Frailty (5)
- Free Group (5)
- Functional ankle instability (5)
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- Holding isometric muscle action (5)
- Hypertension (5)
- IAT (5)
- IR-MALDI (5)
- ISM: jets and outflows (5)
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- Imaging (5)
- Individual-based models (5)
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- Langmuir monolayer (5)
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- MQTT (5)
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- Organic solar cells (5)
- PCA (5)
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- Palaeolimnology (5)
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- Palynology (5)
- Peptides (5)
- Permian (5)
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- Pesticides (5)
- Ph.D. retreat (5)
- Phase transitions (5)
- Photochemistry (5)
- Plant functional types (5)
- Plio-Pleistocene (5)
- Population dynamics (5)
- Postural control (5)
- Priming (5)
- Process (5)
- Process mining (5)
- Productivity (5)
- Proteins (5)
- Pushing isometric muscle action (5)
- Python (5)
- Quantum chemical calculations (5)
- RAFT polymerization (5)
- RNA (5)
- RNA-Seq (5)
- ROS (5)
- Residual stress (5)
- Resonant inelastic X-ray scattering (5)
- Risk assessment (5)
- Ruthenium (5)
- Röntgenbeugung (5)
- SRTM (5)
- STM (5)
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- Tacitus (5)
- Tarim Basin (5)
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- Temperature (5)
- TerraceM (5)
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- biomarkers (4)
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- black hole physics (4)
- body composition (4)
- body image (4)
- body waves (4)
- brushes (4)
- brushite (4)
- buildings (4)
- bulk heterojunction (4)
- business (4)
- business model (4)
- carbon isotopes (4)
- carbon nitrides (4)
- carbon sequestration (4)
- catchments (4)
- categories (4)
- cell cycle (4)
- cell wall (4)
- change management (4)
- characteristics (4)
- citizenship (4)
- climate change impacts (4)
- climate extremes (4)
- climate warming (4)
- clinical sample (4)
- clone (4)
- cluster analysis (4)
- co-occurrence analysis (4)
- cod-liver (4)
- codon usage (4)
- coefficient (4)
- coevolution (4)
- cognitive enhancement (4)
- cognitive modeling (4)
- collaboration (4)
- collaborative consumption (4)
- collagen (4)
- colloids (4)
- colonization (4)
- color (4)
- combat sports (4)
- common vole (4)
- community structure (4)
- competence (4)
- complexity (4)
- compliance (4)
- composites (4)
- computer games (4)
- computer-based training (4)
- concepts (4)
- conceptualization (4)
- conduct problems (4)
- conductivity (4)
- confocal microscopy (4)
- conjugated polymers (4)
- content-addressable memory (4)
- context (4)
- contracts (4)
- conversational agents (4)
- convolutional neural network (4)
- coping strategies (4)
- copper(II) (4)
- core (4)
- coronary heart disease (4)
- corrosion (4)
- counting (4)
- covariance (4)
- creep (4)
- crop production (4)
- cross-cultural comparison (4)
- crosslinking (4)
- cultural pluralism (4)
- cyberbullying victimization (4)
- cyclic voltammetry (4)
- cylindrospermopsin (4)
- cystic fibrosis (4)
- cytochrome c (4)
- data mining (4)
- data preparation (4)
- data quality (4)
- decarbonization (4)
- deep reinforcement learning (4)
- deformation (4)
- degenerative disc disease (4)
- demography (4)
- deposition (4)
- design (4)
- dictator game (4)
- differentiation (4)
- digital (4)
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- discourse production (4)
- diversification (4)
- dog (4)
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- dyadic coping (4)
- dye removal (4)
- dynamic (4)
- dynamical models (4)
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- eco-evolutionary experience (4)
- edge effect (4)
- effect (4)
- electron paramagnetic resonance (4)
- electron-transfer (4)
- electrostatics (4)
- emissions (4)
- emotional expression (4)
- emulsion (4)
- endophytes (4)
- enhancement (4)
- entanglement (4)
- environmental filtering (4)
- environmental policy (4)
- errata, addenda (4)
- ethnicity (4)
- eutrophication (4)
- evaluative study (4)
- evaporites (4)
- event-related brain potentials (4)
- evolutionary history (4)
- exercise intensity (4)
- experimental design (4)
- exploratory-behavior (4)
- eye-movement monitoring (4)
- face perception (4)
- family (4)
- fatty acid metabolism (4)
- fatty-acids (4)
- fault (4)
- feature selection (4)
- fence ecology (4)
- ferroelectric polymers (4)
- fiction (4)
- financial crisis (4)
- financial institutions (4)
- finger counting (4)
- first language acquisition (4)
- first-passage (4)
- floral scent (4)
- flower development (4)
- fluctuating light (4)
- fluctuations (4)
- fluid inclusions (4)
- fluorescent dyes (4)
- formal verification (4)
- fractional dynamics (4)
- framework (4)
- frustration (4)
- functional response (4)
- fundamental frequency (4)
- fungi (4)
- galaxies: star formation (4)
- garden-path effect (4)
- gaze-contingent displays (4)
- gene regulation (4)
- gene regulatory networks (4)
- genealogy (4)
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- geomorphometry (4)
- geothermal energy (4)
- geovisualization (4)
- global jets (4)
- global positioning system (4)
- global sensitivity analysis (4)
- glomerular filtration rate (4)
- glucose oxidation (4)
- glucosinolates (4)
- glutathione (4)
- grammaticalization (4)
- graph theory (4)
- graph transformation (4)
- graph transformation systems (4)
- graphs (4)
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- heat (4)
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- heuristics (4)
- high-intensity interval training (4)
- history (4)
- holding capacity (4)
- holding isometric muscle action (HIMA) (4)
- honey bee (4)
- hospitals (4)
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- hybrid (4)
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- immunology (4)
- implicit attitude (4)
- impulsivity (4)
- in vitro (4)
- in-situ (4)
- inertial measurement unit (4)
- infinite-dimensional Brownian diffusion (4)
- inorganic perovskites (4)
- insulin signaling (4)
- interactional linguistics (4)
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- interest (4)
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- intersectionality (4)
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- ionic strength (4)
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- knickpoint (4)
- knowledge (4)
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- lactate (4)
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- large-scale structure of Universe (4)
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- lexical access (4)
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- lichens (4)
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- locomotion (4)
- locus coeruleus (4)
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- long-term effects (4)
- low-back-pain (4)
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- machine (4)
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- mechanical tendinous oscillations (4)
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- metaphor (4)
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- moment tensor (4)
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- morphogenesis (4)
- muscle oxygen saturation (4)
- museum specimens (4)
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- n-alkanes (4)
- nachhaltige Chemie (4)
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- osmotic-pressure (4)
- osteoblast (4)
- other-race effect (4)
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- part 1 (4)
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- recombinant inbred line (4)
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- relatedness (4)
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- salt (4)
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- shape (4)
- shape memory (4)
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- shrub encroachment (4)
- signal propagation (4)
- similarity measures (4)
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- skill (4)
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- curvature (3)
- cyberhate (3)
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- cycloaddition (3)
- cylindrical geometry (3)
- cytosolic tRNA thiolation (3)
- damage estimation (3)
- damage modeling (3)
- dark matter theory (3)
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- data fusion (3)
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- database systems (3)
- deception (3)
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- decision tree (3)
- decompositon (3)
- deduplication (3)
- deep convection (3)
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- defense against predation (3)
- definition (3)
- deforestation (3)
- degraded DNA (3)
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- democratic theory (3)
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- dependence (3)
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- design parameters (3)
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- dye (3)
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- encoding (3)
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- garnet (3)
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- implicit learning (3)
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- information integration (3)
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- landscape homogenization (3)
- langevin equation (3)
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- literacy acquisition (3)
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- mobile application (3)
- modal verbs (3)
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- modellgetriebene Entwicklung (3)
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- monetary incentive delay task (3)
- monomer (3)
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- spectroelectrochemistry (3)
- sphingomyelin (3)
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- Pseudomonas syringae (2)
- Psychodiagnostics (2)
- Psycholinguistics (2)
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- Psychophysiology (2)
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- Psychotherapeutic competencies (2)
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- Public Management (2)
- Public Service Motivation (2)
- Public administration (2)
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- Pull-Apart (2)
- Pulling isometric muscle action (2)
- Pump-probe (2)
- Punch (2)
- Pupillometrie (2)
- Push-pull character (2)
- Push-pull effect (2)
- Puumala virus seroprevalence (2)
- QDs (2)
- QTL (2)
- Qaidam Basin (2)
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- Quantendraht (2)
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- Quartär (2)
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- Quercus ilex (2)
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- Query optimization (2)
- R (2)
- R Shiny (2)
- RAFT-Polymerisation (2)
- RCP scenarios (2)
- RCT (2)
- REDD+ (2)
- REE (2)
- REMPI (2)
- REVEALS (2)
- RGB-D cameras (2)
- RIXS (resonant inelastic X-ray scattering) (2)
- RNA interference (2)
- RNA virus (2)
- RNA-seq (2)
- ROK (2)
- ROMP (2)
- ROP (2)
- RP-HPLC (2)
- RP2 (2)
- RRR (2)
- RSI (2)
- RT models (2)
- RUNX2 (2)
- Radiogenic isotopes (2)
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- Rainfall gradient (2)
- Raman imaging (2)
- Raman microspectroscopy (2)
- Randelementmethode (2)
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- Randwertprobleme (2)
- Ranking (2)
- Rapeseed oil (2)
- Raphidiopsis (2)
- Rapid automatized naming (2)
- Rasa (2)
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- Rattus rattus (2)
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- Real time (2)
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- Resolved and unresolved sources as a function of wavelength (2)
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- Richard Schomburgk (2)
- Riemannian manifold (2)
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- River Incision Model (2)
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- Rossby waves (2)
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- Rotifier (2)
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- Running (2)
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- SUB1A (2)
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- Scene perception (2)
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- To learners in which of the following categories does your work apply (2)
- Toll and Imd pathways (2)
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- a priori (2)
- aberrations (2)
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- absolute (2)
- absorbtion fine-structure (2)
- abstraction (2)
- abundance (2)
- abuse cycles (2)
- academic performance (2)
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- acids (2)
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- acquired thermotolerance (2)
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- adaption measure (2)
- adaptive (2)
- adaptive Systeme (2)
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- addition (2)
- address normalization (2)
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- adiposity (2)
- adjustment (2)
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- aflatoxin B1 (2)
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- age differences (2)
- age differentiation (2)
- age resetting (2)
- aged (2)
- agent-based models (2)
- aggressive sexual fantasies (2)
- agitation (2)
- agreement deficit (2)
- agricultural landscape (2)
- agrin (2)
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- aldehydes (2)
- algorithm schedules (2)
- alignment sensitivity / specificity (2)
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- allgemeine Relativitätstheorie (2)
- allocation (2)
- allostatic load index (2)
- alpha-2 (2)
- alpha-stable Levy process (2)
- alphaherpesvirus (2)
- alpine (2)
- alps (2)
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- alteration geochemistry (2)
- alternaria group (2)
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- altertoxins (2)
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- ambiguities (2)
- ambiguity (2)
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- amorphous carbon (2)
- amorphous polymers (2)
- amplitude (2)
- amöboide Bewegung (2)
- anagogy (2)
- analytical framework for Participatory Educational Practices (2)
- analytical methods (2)
- anaphoric existence presupposition (2)
- anaphoricity (2)
- anatexis (2)
- ancestral remains (2)
- anchor peptides (2)
- ancient (2)
- and prediction (2)
- angiotensin receptor blockers (2)
- animal (2)
- animal and computational models (2)
- animal behavior (2)
- animal cognition (2)
- animal migration (2)
- animal models (2)
- anisotropic effects (2)
- ankles (2)
- anniversary issue (2)
- annotation (2)
- annotation projection (2)
- anomalous Brownian motion (2)
- anomaly detection (2)
- anorexia nervosa (2)
- antecedent choice (2)
- antecedents (2)
- anterior PNP (2)
- anterior cruciate ligament (2)
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- anthropogenic food subsidies (2)
- anti-cancer drugs (2)
- anti-consumption (2)
- anti-genotoxicity (2)
- anti-inflammatory nutrition (2)
- anti-inflammatory therapy (2)
- anti-oxidant activity (2)
- anti-oxidative capacity (2)
- anti-oxidative response (2)
- antibiotic inactivation (2)
- antibiotics (2)
- antibody producing cell selection (2)
- anticancer drug (2)
- anticipation (2)
- antimicrobial peptide (2)
- antimicrobial peptides (2)
- antimicrobial polymers (2)
- antimicrobial resistance (2)
- antioxidant capacity (2)
- antonymy (2)
- anxiety disorder (2)
- anxiety sensitivity (2)
- anxiety-like behavior (2)
- apatite fission track (2)
- apis mellifera (2)
- apodemus-agrarius (2)
- apoplast (2)
- appetite (2)
- apple replant disease (2)
- applicant reactions (2)
- applicants for international protection (2)
- approximate differentiability (2)
- approximate methods (2)
- approximate number system (2)
- approximation (2)
- aptasensors (2)
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- aquatic (2)
- aqueous dispersion (2)
- aquifer (2)
- arabidopsis thaliana (2)
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- archipelagic studies (2)
- archipelagic theory (2)
- arctic water bodies (2)
- area-based conservation (2)
- argon dating (2)
- argument structure (2)
- argumentation mining (2)
- aridification (2)
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- array (2)
- arsenic (2)
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- arthropod (2)
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- artificial light (2)
- artificial light at night (2)
- artificial light at night (ALAN) (2)
- artificial transcription factor (2)
- ascorbate (2)
- ascorbate peroxidase (2)
- aspiration (2)
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- assay (2)
- assembly factor (2)
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- assimilation (2)
- associative learning (2)
- associative networks (2)
- astrobiology (2)
- astrocytes (2)
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- astronomical calibration (2)
- astronomical databases (2)
- astronomical databases: miscellaneous (2)
- asylum (2)
- asylum seekers (2)
- asymptotic behavior (2)
- asymptotic method (2)
- asynchronous video interviewing (2)
- athmospheric circulation (2)
- atmospheric blocking (2)
- atmospheric nitrogen deposition (2)
- atmospheric warming (2)
- atom chip (2)
- atom-surface interaction (2)
- atomic processes (2)
- atropisomerism (2)
- attachment styles (2)
- attitudes toward intimate partner violence (2)
- attitudes towards sexual coercion (2)
- attosecond phenomena (2)
- attraction errors (2)
- attribute assurance (2)
- auch (2)
- augmented-wave method (2)
- august 2002 (2)
- authentication (2)
- authoritarianism (2)
- authorship attribution (2)
- autism spectrum disorder (2)
- autogamy (2)
- automated planning (2)
- automated radio telemetry (2)
- automatic facial expression analysis (2)
- automatic feedback (2)
- automaticity (2)
- autonomic nervous system (2)
- autonomy support (2)
- autoregressive models (2)
- avian personalities (2)
- avirulence (2)
- axillary bud (2)
- azobenzene containing polymer films (2)
- azobenzene containing surfactants (2)
- azobenzene elastomers (2)
- azobenzene surfactant (2)
- azobenzene trimethylammonium bromide (2)
- azobenzenes (2)
- back-pain screening (2)
- background variables (2)
- bacterial O-antigen (2)
- bacterial swimming strategies (2)
- baltic sea (2)
- banal nationalism (2)
- bank filtration (2)
- bank vole (2)
- bank voles (2)
- barbell velocity (2)
- basal body (2)
- base excision repair (incision activity) (2)
- basic need satisfaction and frustration (2)
- basic psychological needs (2)
- basin analysis (2)
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- basis-sets (2)
- batch effect (2)
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- batch processing (2)
- bedload transport (2)
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- behavioral flexibility (2)
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- bifurcation analysis (2)
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- big data analytics (2)
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- big-fish-little-pond-effect (2)
- bilingual children (2)
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- biofilm formation (2)
- biofilms (2)
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- bioindicators (2)
- biological control (2)
- biological invasion (2)
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- coast (2)
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- coefficients (2)
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- coherent noise (2)
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- comorbidities (2)
- comparative (2)
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- comparison of devices (2)
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- concentration (2)
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- confidence intervals (2)
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- confocal Raman microscopy (2)
- conformance checking (2)
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- cryo-electron microscopy (2)
- cryogel (2)
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- crystal orientation (2)
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- cycle (2)
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- dew-point temperature (2)
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- diabetic (2)
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Immune to COVID?
(2021)
Doing good by doing bad
(2022)
This study investigates how tone at the top, implemented by top management, and tone at the bottom, in an employee's immediate work environment, determine noncompliance. We focus on the disallowed actions of employees that improve their own and, in turn, the company's performance, referred to as performance-improving noncompliant behavior (PINC behavior). We conduct a survey of German sales employees to investigate specifically how, on the one hand, (1) corporate rules and (2) performance pressure, both implemented by top management, and, on the other hand, (3) others' PINC expectations and (4) others' PINC behavior, both arising from the employee's immediate work environment, influence PINC behavior. When considered in isolation, we find that corporate rules, as top management's main instrument to guide employee behavior, decrease employee PINC behavior. However, this effect is negatively influenced by the employees' immediate work environment when employees are expected to engage in PINC or when others engage in PINC. In contrast, even though top management places great performance pressure on employees, that by itself does not increase PINC behavior. Overall, our study informs practitioners and researchers about whether and how the four determinants increase or decrease employees' PINC behavior, which is important to comprehend triggers and to counteract such misconduct.
Sharing marketplaces emerged as the new Holy Grail of value creation by enabling exchanges between strangers. Identity reveal, encouraged by platforms, cuts both ways: While inducing pre-transaction confidence, it is suspected of backfiring on the information senders with its discriminative potential. This study employs a discrete choice experiment to explore the role of names as signifiers of discriminative peculiarities and the importance of accompanying cues in peer choices of a ridesharing offer. We quantify users' preferences for quality signals in monetary terms and evidence comparative disadvantage of Middle Eastern descent male names for drivers and co-travelers. It translates into a lower willingness to accept and pay for an offer. Market simulations confirm the robustness of the findings. Further, we discover that females are choosier and include more signifiers of involuntary personal attributes in their decision-making. Price discounts and positive information only partly compensate for the initial disadvantage, and identity concealment is perceived negatively.
Sharing marketplaces emerged as the new Holy Grail of value creation by enabling exchanges between strangers. Identity reveal, encouraged by platforms, cuts both ways: While inducing pre-transaction confidence, it is suspected of backfiring on the information senders with its discriminative potential. This study employs a discrete choice experiment to explore the role of names as signifiers of discriminative peculiarities and the importance of accompanying cues in peer choices of a ridesharing offer. We quantify users' preferences for quality signals in monetary terms and evidence comparative disadvantage of Middle Eastern descent male names for drivers and co-travelers. It translates into a lower willingness to accept and pay for an offer. Market simulations confirm the robustness of the findings. Further, we discover that females are choosier and include more signifiers of involuntary personal attributes in their decision-making. Price discounts and positive information only partly compensate for the initial disadvantage, and identity concealment is perceived negatively.
Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.
Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.
In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.
In nowadays production, fluctuations in demand, shortening product life-cycles, and highly configurable products require an adaptive and robust control approach to maintain competitiveness. This approach must not only optimise desired production objectives but also cope with unforeseen machine failures, rush orders, and changes in short-term demand. Previous control approaches were often implemented using a single operations layer and a standalone deep learning approach, which may not adequately address the complex organisational demands of modern manufacturing systems. To address this challenge, we propose a hyper-heuristics control model within a semi-heterarchical production system, in which multiple manufacturing and distribution agents are spread across pre-defined modules. The agents employ a deep reinforcement learning algorithm to learn a policy for selecting low-level heuristics in a situation-specific manner, thereby leveraging system performance and adaptability. We tested our approach in simulation and transferred it to a hybrid production environment. By that, we were able to demonstrate its multi-objective optimisation capabilities compared to conventional approaches in terms of mean throughput time, tardiness, and processing of prioritised orders in a multi-layered production system. The modular design is promising in reducing the overall system complexity and facilitates a quick and seamless integration into other scenarios.
Algorithmic management
(2022)
Algorithmic management
(2022)
Our study applies legitimacy theorizing to service research, zooming in on co-prosumption service business models, which reside on significant direct contacts among provider-actors and customers as well as fellow customers in the service space. Our findings are based on a longitudinal flexible pattern matching method on 17 coworking spaces. The service cocreation nuances the double role of customers as evaluators and cocreators of legitimacy. This is because customers can have immediate perceptions of the actions and values of the services in their legitimacy evaluation while cocreating the service. Legitimacy shaped via social and recursive processes occurs in three stages: provisional, calibrated, and affirmed legitimacy. Findings inform four trajectory mechanisms of value-in-use pattern provenance, emergent Business Model development adaptive to the spatial context and loyal customers, visible trances as well as inside-out and outside-in identification processes. Further, the processes in the micro-ecosystem of an interstitial service space can develop a superordinate logic which overlays the potentially present coopetive and heterogenous institutional logics and interests of service customers.
The sharing economy gains momentum and develops a major economic impact on traditional markets and firms. However, only rudimentary theoretical and empirical insights exist on how sharing networks, i.e., focal firms, shared goods providers and customers, create and capture value in their sharing-based business models. We conduct a qualitative study to find key differences in sharing-based business models that are decisive for their value configurations. Our results show that (1) customization versus standardization of shared goods and (2) the centralization versus particularization of property rights over the shared goods are two important dimensions to distinguish value configurations. A second, quantitative study confirms the visibility and relevance of these dimensions to customers. We discuss strategic options for focal firms to design value configurations regarding the two dimensions to optimize value creation and value capture in sharing networks. Firms can use this two-dimensional search grid to explore untapped opportunities in the sharing economy.
Purpose – Design thinking has become an omnipresent process to foster innovativeness in various fields. Due to its popularity in both practice and theory, the number of publications has been growing rapidly. The authors aim to develop a research framework that reflects the current state of research and allows for the identification of research gaps.
Design/methodology/approach – The authors conduct a systematic literature review based on 164 scholarly articles on design thinking.
Findings – This study proposes a framework, which identifies individual and organizational context factors, the stages of a typical design thinking process with its underlying principles and tools, and the individual as well as organizational outcomes of a design thinking project.
Originality/value – Whereas previous reviews focused on particular aspects of design thinking, such as its characteristics, the organizational culture as a context factor or its role on new product development, the authors provide a holistic overview of the current state of research.
Entrepreneurial failure
(2022)
Although entrepreneurial failure (EF) is a fairly recent topic in entrepreneurship literature, the number of publications has been growing dynamically and particularly rapidly. Our systematic review maps and integrates the research on EF based on a multi-method approach to give structure and consistency to this fragmented field of research. The results reveal that the field revolves around six thematic clusters of EF: 1) Soft underpinnings of EF, 2) Contextuality of EF, 3) Perception of EF, 4) Two-sided effects of EF, 5) Multi-stage EF effects, and 6) Institutional drivers of EF. An integrative framework of the positive and negative effects of entrepreneurial failure is proposed, and a research agenda is suggested.
Clubs of autocrats
(2021)
While scholars have argued that membership in Regional Organizations (ROs) can increase the likelihood of democratization, we see many autocratic regimes surviving in power albeit being members of several ROs. This article argues that this is the case because these regimes are often members in "Clubs of Autocrats" that supply material and ideational resources to strengthen domestic survival politics and shield members from external interference during moments of political turmoil. The argument is supported by survival analysis testing the effect of membership in autocratic ROs on regime survival between 1946 to 2010. It finds that membership in ROs composed of more autocratic member states does in fact raise the likelihood of regime survival by protecting incumbents against democratic challenges such as civil unrest or political dissent. However, autocratic RO membership does not help to prevent regime breakdown due to autocratic challenges like military coups, potentially because these types of threats are less likely to diffuse to other member states. The article thereby adds to our understanding of the limits of democratization and potential reverse effects of international cooperation, and contributes to the literature addressing interdependences of international and domestic politics in autocratic regimes.
Major international organizations (IOs) are heavily contested, but they are rarely dissolved. Scholars have focused on their longevity, making institutional arguments about replacement costs and institutional assets as well as IO agency to adapt and resist challenges. This article analyzes the limits of institutional stickiness by focusing on outlier cases. While major IOs are dissolved at considerably lower rates than minor IOs, the article nevertheless identifies twenty-one cases where major IOs have died since 1815. These are tough cases as they do not conform to our institutionalist expectations. To better understand these rare but important events, the article provides case illustrations from the League of Nations and International Refugee Organization, which were dissolved due to their perceived underperformance and a disappearing demand for cooperation. These cases show the limits of the institutional theories of IO stickiness: sometimes member states find high replacement costs justified or consider assets as sunk costs, and IOs may lack agency to strategically respond. This article refines theories of institutional stickiness and contributes to the institutional theory of the life and death of IOs.
Les principales organisations internationales (OI) sont fortement contestées, mais rarement dissoutes. Pour expliquer leur longévité, les chercheurs ont avancé des arguments institutionnels concernant les coûts de remplacement et les actifs de l'institution, mais aussi la capacité des OI à s'adapter et à résister aux défis. Cet article analyse les limites de la persistance des institutions en se concentrant sur des cas particuliers. Tandis que les principales OI sont dissoutes bien moins fréquemment que des OI moins importantes, cet article identifie néanmoins 21 cas de disparition d'OI principales depuis 1815. Ces derniers sont particulièrement difficiles, car ils ne correspondent pas à nos attentes en termes d'institutions. Afin de mieux comprendre ces événements rares, mais non moins importants, l'article propose comme illustrations de cas la Société des Nations et l'Organisation internationale pour les réfugiés, qui ont été dissoutes à cause de leur manque apparent de résultats et de la disparition de la demande de coopération. Ces cas mettent en évidence les limites des théories institutionnelles de persistance des OI : parfois, les États membres considèrent les coûts de remplacement élevés justifiés ou les actifs comme des coûts irrécupérables, et les OI n'ont peut-être pas la capacité de leur répondre de manière stratégique. Le présent article affine les théories de persistance institutionnelle et contribue à la théorie institutionnelle de vie et de mort des OI.
Las organizaciones internacionales (OI) más importantes son muy cuestionadas, pero rara vez se disuelven. Los investigadores se han centrado en la longevidad de las IO, formulando argumentos institucionales sobre los costes de sustitución y los activos institucionales, así como sobre la capacidad de adaptación y resistencia de las organizaciones internacionales. Este artículo analiza los límites de la rigidez institucional centrándose en casos atípicos. Aunque las OI más importantes se disuelven en proporciones considerablemente menores que las OI de menor importancia, el artículo identifica 21 casos en los que OI más importantes desaparecieron desde 1815. Se trata de casos difíciles, ya que no se ajustan a nuestras expectativas institucionalistas. Para comprender mejor estos raros pero importantes acontecimientos, el artículo ofrece ejemplos de casos de la Sociedad de Naciones y de la, Organización Internacional para los Refugiados que se disolvieron debido a su bajo desempeño percibido y a la desaparición de la demanda de cooperación. Estos casos muestran los límites de las teorías institucionales sobre la rigidez de las OI: En ocasiones, los Estados miembros consideran justificados los elevados costes de sustitución o consideran que los activos son costes irrecuperables, y las OI pueden no disponer de capacidad de respuesta estratégica. Este artículo profundiza en las teorías de la rigidez institucional y contribuye a la teoría institucional de la vida y la muerte de las organizaciones internacionales.
Biological maturation has been shown to affect male youths' responses to plyometric training (PT). However, to date, no researcher has examined the effect of maturation on the effects of PT in female youth. We undertook the first controlled intervention study to examine this, focusing on adaptive responses to countermovement jump (CMJ), reactive strength index (RSI), and change of direction (COD) performance in groups of female youth divided by maturation status (years from peak height velocity [PHV]). The training program lasted 7 weeks with subjects undertaking 2 sessions of PT per week. In the mid-PHV group, there was a small increase (effect size; 90% confidence interval = 0.40; -0.23 to 1.03) in CMJ performance. No changes were observed in the post-PHV group (0.02; -0.68 to 0.72). For RSI, there was a moderate increase in the mid-PHV group (0.94; 0.29-1.59) with only a trivial increase in the post-PHV group (0.06; -0.65 to 0.76). The intervention exerted no positive effect on COD performance in any group. Plyometric training seems to enhance CMJ and RSI in female youth, although the magnitude of adaptation could be affected by maturation status. A twice-per-week program of multidirectional jumping and hopping, with bilateral and unilateral components, can be used as a preparatory precursor to physical education classes or recreational sport.
Uruguay River is the most important river in western Rio Grande do Sul, separating Brazil from Argentina and Uruguay. However, its pollution is of great concern due to agricultural activities in the region and the extensive use of pesticides. In a long term, this practice leads to environmental pollution, especially to the aquatic system. The objective of this study was to analyze the physicochemical characteristics, metals and pesticides levels in water samples obtained before and after the planting and pesticides' application season from three sites: Uruguay River and two minor affluents, Mezomo Dam and Salso Stream. For biomonitoring, the free-living nematode Caenorhabditis elegans was used, which were exposed for 24 h. We did not find any significant alteration in physicochemical parameters. In the pre- and post-pesticides' samples we observed a residual presence of three pesticides (tebuconazole, imazethapyr, and clomazone) and metals which levels were above the recommended (As, Hg, Fe, and Mn). Exposure to both pre- and post-pesticides' samples impaired C. elegans reproduction and post-pesticides samples reduced worms' survival rate and lifespan. PCA analysis indicated that the presence of metals and pesticides are important variables that impacted C. elegans biological endpoints. Our data demonstrates that Uruguay River and two affluents are contaminated independent whether before or after pesticides' application season. In addition, it reinforces the usefulness of biological indicators, since simple physicochemical analyses are not sufficient to attest water quality and ecological safety.
Research on corporate entrepreneurship—venturing activities by established corporations—has received increasing scholarly attention. We employ bibliometric methods to analyze the literature on corporate entrepreneurship published over the last five decades. Based on the results of citation and co-citation analyses, we reveal central works in the field and how they are interconnected. We investigate the underlying intellectual structure of the field. Our findings provide evidence of the growing maturity and interdisciplinarity of corporate entrepreneurship and provide insight into research themes. We find that resource-based view and its extensions still remain the predominant theoretical perspectives in the field. Drawing on these findings, we suggest directions for future research.
Long-term value creation is expected not only to be concerned with maximizing shareholder value but also includes the impact on other stakeholders and the environment. Environmental, social, and governance (ESG) issues are therefore gaining increasing importance, in line with the growing demand for corporate sustainability. ESG ratings foster the comparison of companies with respect to their sustainable practices. This study aims to investigate how ESG ratings impact financial performance in the European food industry. Ordinary least squares regression is applied to analyze the relation between ESG ratings and financial performance over a 4-year period from 2017 to 2020. The profitability measures Return on Assets (ROA) and Return on Equity (ROE) are employed as financial performance measures, while ESG ratings are obtained from the database CSRHub. Results show that higher ESG ratings are associated with better financial performance. Although the effect is modest in the present study, the findings support previous results that ESG ratings are positively related to financial performance. Nonetheless, they also highlight that ESG ratings strongly converge to the mean, which depicts the need to reassess whether ESG ratings are able to measure actual ESG behavior.
Strategic social media use positively influences organizational goals such as the long-term accrual of social capital, and thus social media information governance has become an increasingly important organizational objective. It is particularly important for humanitarian nongovernmental organizations (HNGOs), whose work relies on accurate and timely information regarding socially altruistic behavior (donations, volunteerism, etc.). Despite the potential of social media for increasing social capital, tensions in governing social media information across an organization's different operational levels (regional, intermediate, and national) pose a difficult challenge. Prominent governance frameworks offer little guidance, as their focus on control and incremental policymaking is largely incompatible with the processes, roles, standards, and metrics needed for managing self-governing social media. This study offers a notion of dynamic and co-evolutionary process management of multi-level organizations as a means of conceptualizing social media information governance for the accrual of organizational social capital. Based on interviews with members of HNGOs, this study reveals tensions that emerge within eight focus areas of accruing social capital in multi-level organizations, explains how dynamic process management can ease those tensions, and proposes corresponding strategy recommendations.
Birds of a feather?
(2020)
The International Monetary Fund and the World Bank ascribe to impartiality in their mandates. At the same time, scholarship indicates that their decisions are disproportionately influenced by powerful member states. Impartiality is seen as crucial in determining International Organizations' (IOs) effectiveness and legitimacy in the literature. However, we know little about whether key interlocutors in national governments perceive the International Financial Institutions as biased actors who do the bidding for powerful member states or as impartial executors of policy. In order to better understand these perceptions, we surveyed high-level civil servants who are chiefly responsible for four policy areas from more than 100 countries. We found substantial variations in impartiality perceptions. What explains these variations? By developing an argument of selective awareness, we extend rationalist and ideational perspectives on IO impartiality to explain domestic perceptions. Using novel survey data, we test whether staffing underrepresentation, voting underrepresentation, alignment to the major shareholders and overlapping economic policy paradigms are associated with impartiality perceptions. We find substantial evidence that shared economic policy paradigms influence impartiality perceptions. The findings imply that by diversifying their ideational culture, IOs can increase the likelihood that domestic stakeholders view them as impartial.
The organisation of legislative chambers and the consequences of parliamentary procedures have been among the most prominent research questions in legislative studies. Even though democratic elections not only lead to the formation of a government but also result in an opposition, the literature has mostly neglected oppositions and their role in legislative chambers. This paper proposes to fill this gap by looking at the legislative organisation from the perspective of opposition players. The paper focuses on the potential influence of opposition players in the policy-making process and presents data on more than 50 legislative chambers. The paper shows considerable variance of the formal power granted to opposition players. Furthermore, the degree of institutionalisation of opposition rights is connected to electoral systems and not necessarily correlated with other institutional characteristics such as regime type or the size of legislative chambers.
Enterprise systems have long played an important role in businesses of various sizes. With the increasing complexity of today’s business relationships, pecialized application systems are being used more and more. Moreover, emerging technologies such as artificial intelligence are becoming accessible for enterprise systems. This raises the question of the future role of enterprise systems. This minitrack covers novel ideas that contribute to and shape the future role of enterprise systems with five contributions.
Findings in the extant literature are mixed concerning when and how gender diversity benefits team performance. We develop and test a model that posits that gender-diverse teams outperform gender-homogeneous teams when perceived time pressure is low, whereas the opposite is the case when perceived time pressure is high. Drawing on the categorization-elaboration model (CEM; van Knippenberg, De Dreu, & Homan, 2004), we begin with the assumption that information elaboration is the process whereby gender diversity fosters positive effects on team performance. However, also in line with the CEM, we argue that this process can be disrupted by adverse team dynamics. Specifically, we argue that as time pressure increases, higher gender diversity leads to more team withdrawal, which, in turn, moderates the positive indirect effect of gender diversity on team performance via information elaboration such that this effect becomes weaker as team withdrawal increases. In an experimental study of 142 four-person teams, we found support for this model that explains why perceived time pressure affects the performance of gender-diverse teams more negatively than that of gender-homogeneous teams. Our study sheds new light on when and how gender diversity can become either an asset or a liability for team performance.
The COVID-19 virus has hit Germany as unexpectedly as other European countries. For a few weeks, Germans thought that COVID-19 was an issue for Asian states and not for their country. Although Germany continues to be affected by the coronavirus, the situation is nowhere as dire as it was in Britain, Italy or Spain. The race to lift restrictions in Germany began in May, and by early June, the country may be back to normal. Germany, with its enormous financial resources and a well-equipped medical sector, appears to be better placed than other economies to weather the storm.
Many international organisations (IOs) are currently challenged, yet are they also in decline? Despite much debate on the crisis of liberal international order, con-testation, loss of legitimacy, gridlock, pathologies and exiting member states, there is little research on IO decline. This article seeks to clarify this concept and argues that decline can be considered in absolute and relative terms. Absolute decline involves a decrease in the number of IOs and their authority, member-ship and output, whereas relative decline concerns a decrease in the centrality of IOs in international relations. Reviewing a wide range of indicators, this article argues that, whereas there is limited decline in absolute terms since 1945, there may well be important decline in relative terms. Relative decline is more difficult to measure, but to probe its significance this article presents data from speeches during the United Nations General Assembly General Debate. It shows that IOs were most often mentioned in 1996 and that there has been a decline since. These findings indicate that, whereas IOs might survive as institutions, they are decreasingly central to international relations.
Germany as a leading power
(2020)
Governance abhors a vacuum
(2023)
International organisations have become increasingly contested resulting in worries about their decline and termination. While international organisation termination is indeed a regular event in international relations, this article shows that other institutions carry the legacy of terminated international organisations. We develop the novel concept of international organisation afterlife and suggest indicators to systematically assess it. Our analysis of 26 major terminated international organisations reveals legal-institutional and asset continuity in 21 cases. To further illustrate this point, the article zooms in on the afterlife of the International Institute of Agriculture in the Food and Agriculture Organization, the International Refugee Organization in the United Nations High Commissioner for Refugees, and the Western European Union in the European Union. In these three cases, international organisation afterlife inspired and structured the design of their successor institutions. While specific international organisations might be terminated, international cooperation therefore often lives on in other institutions.
Scholars have long recognised the importance of contexts of reception in shaping the integration of immigrants and refugees in a host society. Studies of refugees, in particular, have examined groups where the different dimensions of reception (government, labour market, and ethnic community) have been largely positive. How important is this merging of positive contexts across dimensions of reception? We address this through a comparative study of Vietnamese refugees to West Germany beginning in 1979 and contract workers to East Germany beginning in 1980. These two migration streams converged when Germany reunified in 1990. Drawing on mixed qualitative methods, this paper offers a strategic case for understanding factors that shape the resettlement experiences of Vietnamese refugees and immigrants in Germany. By comparing two migration streams from the same country of origin, but with different backgrounds and contexts of reception, we suggest that ethnic networks may, in time, offset the disadvantages of a negative government reception.
Value research has a long and extensive history of theoretical definitions and empirical investigations using large scale quantitative surveys. However, the way the general population understands, defines, and relates to the concept of values, and how these views vary across individuals is seldom addressed. The present study examined subjective interpretations of the term through focus group interviews, and reports on the development of a Value Conceptualisation Scale (VCS) that distinguishes six dimensions of different views on values: normativity, relevance, validity, stability, consistency, and awareness. Focus group interviews (n = 38) as well as several surveys (n = 100, n = 1519, n = 903, n = 94) were used to develop, refine, and test the scale in terms of response variety, temporal stability, as well as convergent and discriminant validity. These systematic results show that views on values do indeed vary significantly between participants. Correlations with dogmatism, preference for consistency, and metacognition were found for corresponding dimensions. The VCS provides an original measure, which enables future research to explore this variation on the conceptualisation of values.
Entrepreneurship education (EE) has attracted much scholarly attention, showing exponential growth in publication and citation numbers. The research field has become broad, complex, and fragmented, making it increasingly difficult to oversee. Our research goal is to organise and integrate the previous literature. To this end, we use bibliometric analyses, differing from prior analyses, which are outdated or have a different focus. Our results show an immense growth in publications and citations over the last decade and an almost equal involvement of business and educational research. We identify the most productive and influential journals and authors. Our co-citation analysis reveals two research clusters, one focusing on psychological constructs relating to EE, and the other on entrepreneurial behaviour and new venture creation. Based on a review of the 25 most-cited articles on an annual basis, we identify and quantify the most relevant research themes and integrate them into a research framework that we propose for future research. A major finding is that extant research centres around the outcomes of entrepreneurship education, whereas its pedagogy is still mainly a black box.
In a democracy, a constitutional separation of powers between the executive and the assembly may be desirable, but the constitutional concentration of executive power in a single human being is not. The book defends this thesis and explores ‘semi-parliamentary government’ as an alternative to presidential government. Semi-parliamentarism avoids power concentration in one person by shifting the separation of powers into the democratic assembly. The executive becomes fused with only one part of the assembly, even though the other part has at least equal democratic legitimacy and robust veto power on ordinary legislation. The book identifies the Australian Commonwealth and Japan, as well as the Australian states of New South Wales, South Australia, Tasmania, Victoria, and Western Australia, as semi-parliamentary systems. Using data from 23 countries and 6 Australian states, it maps how parliamentary and semi-parliamentary systems balance competing visions of democracy; it analyzes patterns of electoral and party systems, cabinet formation, legislative coalition-building, and constitutional reforms; it systematically compares the semi-parliamentary and presidential separation of powers; and it develops new and innovative semi-parliamentary designs, some of which do not require two separate chambers.
Better land stewardship is needed to achieve the Paris Agreement's temperature goal, particularly in the tropics, where greenhouse gas emissions from the destruction of ecosystems are largest, and where the potential for additional land carbon storage is greatest. As countries enhance their nationally determined contributions (NDCs) to the Paris Agreement, confusion persists about the potential contribution of better land stewardship to meeting the Agreement's goal to hold global warming below 2 degrees C. We assess cost-effective tropical country-level potential of natural climate solutions (NCS)-protection, improved management and restoration of ecosystems-to deliver climate mitigation linked with sustainable development goals (SDGs). We identify groups of countries with distinctive NCS portfolios, and we explore factors (governance, financial capacity) influencing the feasibility of unlocking national NCS potential. Cost-effective tropical NCS offers globally significant climate mitigation in the coming decades (6.56 Pg CO(2)e yr(-1) at less than 100 US$ per Mg CO(2)e). In half of the tropical countries, cost-effective NCS could mitigate over half of national emissions. In more than a quarter of tropical countries, cost-effective NCS potential is greater than national emissions. We identify countries where, with international financing and political will, NCS can cost-effectively deliver the majority of enhanced NDCs while transforming national economies and contributing to SDGs. This article is part of the theme issue 'Climate change and ecosystems: threats, opportunities and solutions'.
Better land stewardship is needed to achieve the Paris Agreement's temperature goal, particularly in the tropics, where greenhouse gas emissions from the destruction of ecosystems are largest, and where the potential for additional land carbon storage is greatest. As countries enhance their nationally determined contributions (NDCs) to the Paris Agreement, confusion persists about the potential contribution of better land stewardship to meeting the Agreement's goal to hold global warming below 2 degrees C. We assess cost-effective tropical country-level potential of natural climate solutions (NCS)-protection, improved management and restoration of ecosystems-to deliver climate mitigation linked with sustainable development goals (SDGs). We identify groups of countries with distinctive NCS portfolios, and we explore factors (governance, financial capacity) influencing the feasibility of unlocking national NCS potential. Cost-effective tropical NCS offers globally significant climate mitigation in the coming decades (6.56 Pg CO(2)e yr(-1) at less than 100 US$ per Mg CO(2)e). In half of the tropical countries, cost-effective NCS could mitigate over half of national emissions. In more than a quarter of tropical countries, cost-effective NCS potential is greater than national emissions. We identify countries where, with international financing and political will, NCS can cost-effectively deliver the majority of enhanced NDCs while transforming national economies and contributing to SDGs. This article is part of the theme issue 'Climate change and ecosystems: threats, opportunities and solutions'.
Vienna
(2021)
This book explores and debates the urban transformations that have taken place in Vienna over the past 30 years and their consequences in policy fields such as labour and housing, political and social participation and the environment. Historically, European cities have been characterised by a strong association between social cohesion, quality of life, economic ambition and a robust State. Vienna is an excellent example for that. In more recent years, however, cities were pressured to change policy principles and mechanisms in the context of demographic shifts, post-industrial transformations and welfare recalibration which have led to worsened social conditions in many cities. Each chapter in this volume discusses Vienna's responses to these pressures in key policy arenas, looking at outcomes from the context-specific local arrangements. Against a theoretical framework debating the European city as a model of inclusion and social justice, authors explore the local capacity to innovate urban policies and to address new social risks, while paying attention to potential trade-offs.
The book questions and assesses the city's resilience using time series and an institutional analysis of four key dimensions that characterise the European city model within the context of post-industrial transition: redistribution, recognition, representation and sustainability. It offers a multiscalar perspective of urban governance through labour, housing, participatory and environmental policies, bringing together different levels and public policy types.
Vienna
(2021)
This book explores and debates the urban transformations that have taken place in Vienna over the past 30 years and their consequences in policy fields such as labour and housing, political and social participation and the environment. Historically, European cities have been characterised by a strong association between social cohesion, quality of life, economic ambition and a robust State. Vienna is an excellent example for that. In more recent years, however, cities were pressured to change policy principles and mechanisms in the context of demographic shifts, post-industrial transformations and welfare recalibration which have led to worsened social conditions in many cities. Each chapter in this volume discusses Vienna's responses to these pressures in key policy arenas, looking at outcomes from the context-specific local arrangements. Against a theoretical framework debating the European city as a model of inclusion and social justice, authors explore the local capacity to innovate urban policies and to address new social risks, while paying attention to potential trade-offs.
The book questions and assesses the city's resilience using time series and an institutional analysis of four key dimensions that characterise the European city model within the context of post-industrial transition: redistribution, recognition, representation and sustainability. It offers a multiscalar perspective of urban governance through labour, housing, participatory and environmental policies, bringing together different levels and public policy types.
As autotrophic organisms, plants capture light energy to convert carbon dioxide into ATP, nicotinamide adenine dinucleotide phosphate (NADPH), and sugars, which are essential for the biosynthesis of building blocks, storage, and growth. At night, metabolism and growth can be sustained by mobilizing carbon (C) reserves. In response to changing environmental conditions, such as light-dark cycles, the small-molecule regulation of enzymatic activities is critical for reprogramming cellular metabolism. We have recently demonstrated that proteogenic dipeptides, protein degradation products, act as metabolic switches at the interface of proteostasis and central metabolism in both plants and yeast. Dipeptides accumulate in response to the environmental changes and act via direct binding and regulation of critical enzymatic activities, enabling C flux distribution. Here, we provide evidence pointing to the involvement of dipeptides in the metabolic rewiring characteristics for the day-night cycle in plants. Specifically, we measured the abundance of 13 amino acids and 179 dipeptides over short- (SD) and long-day (LD) diel cycles, each with different light intensities. Of the measured dipeptides, 38 and eight were characterized by day-night oscillation in SD and LD, respectively, reaching maximum accumulation at the end of the day and then gradually falling in the night. Not only the number of dipeptides, but also the amplitude of the oscillation was higher in SD compared with LD conditions. Notably, rhythmic dipeptides were enriched in the glucogenic amino acids that can be converted into glucose. Considering the known role of Target of Rapamycin (TOR) signaling in regulating both autophagy and metabolism, we subsequently investigated whether diurnal fluctuations of dipeptides levels are dependent on the TOR Complex (TORC). The Raptor1b mutant (raptor1b), known for the substantial reduction of TOR kinase activity, was characterized by the augmented accumulation of dipeptides, which is especially pronounced under LD conditions. We were particularly intrigued by the group of 16 dipeptides, which, based on their oscillation under SD conditions and accumulation in raptor1b, can be associated with limited C availability or photoperiod. By mining existing protein-metabolite interaction data, we delineated putative protein interactors for a representative dipeptide Pro-Gln. The obtained list included enzymes of C and amino acid metabolism, which are also linked to the TORC-mediated metabolic network. Based on the obtained results, we speculate that the diurnal accumulation of dipeptides contributes to its metabolic adaptation in response to changes in C availability. We hypothesize that dipeptides would act as alternative respiratory substrates and by directly modulating the activity of the focal enzymes.
The existence of cancer stem cells (CSCs) poses a major obstacle for the success of current cancer therapies, especially the fact that non-CSCs can spontaneously turn into CSCs, which lead to the failure of the treatment and tumor relapse. Therefore, it is very important to develop effective strategies for the eradication of the CSCs. In this work, we have developed a CSCs-specific targeted, retinoic acid (RA)-loaded gold nanostars-dendritic polyglycerol (GNSs-dPG) nanoplatform for the efficient eradication of CSCs. The nanocomposites possess good biocompatibility and exhibit effective CSCs-specific multivalent targeted capability due to hyaluronic acid (HA) decorated on the multiple attachment sites of the bioinert dendritic polyglycerol (dPG). With the help of CSCs differentiation induced by RA, the self-renewal of breast CSCs and tumor growth were suppressed by the high therapeutic efficacy of photothermal therapy (PTT) in a synergistic inhibitory manner. Moreover, the stemness gene expression and CSC-driven tumorsphere formation were significantly diminished. In addition, the in vivo tumor growth and CSCs were also effectively eliminated, which indicated superior anticancer activity, effective CSCs suppression, and prevention of relapse. Taken together, we developed a CSCs-specific targeted, RA-loaded GNSs-dPG nanoplatform for the targeted eradication of CSCs and for preventing the relapse.
The control of residual stress (RS) remains a challenge in the manufacturing of metallic parts using the laser powder bed fusion process (LPBF). This layer-by-layer manufacturing approach gives rise to complex triaxial RS distributions, which require extensive characterization effort for a broader acceptance of LPBF in industry. This study focuses on the distribution of bulk triaxial RS and surface RS in LPBF austenitic steel 316L. The RS are determined by X-ray and neutron diffraction to characterize the RS distribution. Variations in the LPBF parameters interlayer time (ILT) and scanning velocity and their influence on the temperature distribution and resulting RS is investigated using thermographic data from in situ process monitoring. The RS in the LPBF 316L is tensile at the surface and compressive in the bulk. The RS is directly related to the thermal history of the part as shown by the in situ thermography data. Shorter ILT leads to higher temperatures of the part during the manufacturing, which decrease the RS and RS formation mechanisms. Interestingly, the surface RS does not agree with this observation. This study highlights the benefit of using multiple RS determination methods and in situ thermography monitoring to characterize the RS in LPBF processed parts.
The most complex but potentially most severe impacts of climate change are caused by extreme weather events. In a globally connected economy, damages can cause remote perturbations and cascading consequences-a ripple effect along supply chains. Here we show an economic ripple resonance that amplifies losses when consecutive or overlapping weather extremes and their repercussions interact. This amounts to an average amplification of 21% for climate-induced heat stress, river floods, and tropical cyclones. Modeling the temporal evolution of 1.8 million trade relations between >7000 regional economic sectors, we find that the regional responses to future extremes are strongly heterogeneous also in their resonance behavior. The induced effect on welfare varies between gains due to increased demand in some regions and losses due to demand or supply shortages in others. Within the current global supply network, the ripple resonance effect of extreme weather is strongest in high-income economies-an important effect to consider when evaluating past and future economic climate impacts.
Visible light is shown to create a transient metallic S-Mo-S surface layer on bulk semiconducting p-doped indirect-bandgap 2H-MoS2. Optically created electron-hole pairs separate in the surface band bending region of the p-doped semiconducting crystal causing a transient accumulation of electrons in the surface region. This triggers a reversible 2H-semiconductor to 1T-metal phase-transition of the surface layer. Electron-phonon coupling of the indirect-bandgap p-doped 2H-MoS2 enables this efficient pathway even at a low density of excited electrons with a distinct optical excitation threshold and saturation behavior. This mechanism needs to be taken into consideration when describing the surface properties of illuminated p-doped 2H-MoS2. In particular, light-induced increased charge mobility and surface activation can cause and enhance the photocatalytic and photoassisted electrochemical hydrogen evolution reaction of water on 2H-MoS2. Generally, it opens up for a way to control not only the surface of p-doped 2H-MoS2 but also related dichalcogenides and layered systems. The findings are based on the sensitivity of time-resolved electron spectroscopy for chemical analysis with photon-energy-tuneable synchrotron radiation.
Rapid migration of mesenchymal stem cells (MSCs) on device surfaces could support in vivo tissue integration and might facilitate in vitro organoid formation. Here, polydopamine (PDA) is explored as a biofunctional coating to effectively promote MSC motility. It is hypothesized that PDA stimulates fibronectin deposition and in this way enhances integrin-mediated migration capability. The random and directional cell migration was investigated by time-lapse microscopy and gap closure assay respectively, and analysed with softwares as computational tools. A higher amount of deposited fibronectin was observed on PDA substrate, compared to the non-coated substrate. The integrin beta 1 activation and focal adhesion kinase (FAK) phosphorylation at Y397 were enhanced on PDA substrate, but the F-actin cytoskeleton was not altered, suggesting MSC migration on PDA was regulated by integrin initiated FAK signalling. This study strengthens the biofunctionality of PDA coating for regulating stem cells and offering a way of facilitating tissue integration of devices.
The enhancement and control of the electrical conductivity of organic semiconductors is fundamental for their use in optoelectronic applications and can be achieved by molecular doping, which introduces additional charge carriers through electron transfer between a dopant molecule and the organic semiconductor. Here, we use Electron Paramagnetic Resonance (EPR) spectroscopy to characterise the unpaired spins associated with the charges generated by molecular doping of the prototypical organic semiconductor poly(3-hexylthiophene) (P3HT) with 2,3,5,6-tetrafluoro-7,7,8,8-tetracyanoquinodimethane (F(4)TCNQ) and tris(pentafluorophenyl)borane (BCF). The EPR results reveal the P3HT radical cation as the only paramagnetic species in BCF-doped P3HT films and show evidence for increased mobility of the detected spins at high doping concentrations as well as formation of antiferromagnetically coupled spin pairs leading to decreased spin concentrations at low temperatures. The EPR signature for F(4)TCNQ-doped P3HT is found to be determined by spin exchange between P3HT radical cations and F(4)TCNQ radical anions. Results from continuous-wave and pulse EPR measurements suggest the presence of the unpaired spin on P3HT in a multitude of environments, ranging from free P3HT radical cations with similar properties to those observed in BCF-doped P3HT, to pairs of dipolar and exchange-coupled spins on P3HT and the dopant anion. Characterisation of the proton hyperfine interactions by ENDOR allowed quantification of the extent of spin delocalisation and revealed reduced delocalisation in the F(4)TCNQ-doped P3HT films.
Column-oriented database systems can efficiently process transactional and analytical queries on a single node. However, increasing or peak analytical loads can quickly saturate single-node database systems. Then, a common scale-out option is using a database cluster with a single primary node for transaction processing and read-only replicas. Using (the naive) full replication, queries are distributed among nodes independently of the accessed data. This approach is relatively expensive because all nodes must store all data and apply all data modifications caused by inserts, deletes, or updates.
In contrast to full replication, partial replication is a more cost-efficient implementation: Instead of duplicating all data to all replica nodes, partial replicas store only a subset of the data while being able to process a large workload share. Besides lower storage costs, partial replicas enable (i) better scaling because replicas must potentially synchronize only subsets of the data modifications and thus have more capacity for read-only queries and (ii) better elasticity because replicas have to load less data and can be set up faster. However, splitting the overall workload evenly among the replica nodes while optimizing the data allocation is a challenging assignment problem.
The calculation of optimized data allocations in a partially replicated database cluster can be modeled using integer linear programming (ILP). ILP is a common approach for solving assignment problems, also in the context of database systems. Because ILP is not scalable, existing approaches (also for calculating partial allocations) often fall back to simple (e.g., greedy) heuristics for larger problem instances. Simple heuristics may work well but can lose optimization potential.
In this thesis, we present optimal and ILP-based heuristic programming models for calculating data fragment allocations for partially replicated database clusters. Using ILP, we are flexible to extend our models to (i) consider data modifications and reallocations and (ii) increase the robustness of allocations to compensate for node failures and workload uncertainty. We evaluate our approaches for TPC-H, TPC-DS, and a real-world accounting workload and compare the results to state-of-the-art allocation approaches. Our evaluations show significant improvements for varied allocation’s properties: Compared to existing approaches, we can, for example, (i) almost halve the amount of allocated data, (ii) improve the throughput in case of node failures and workload uncertainty while using even less memory, (iii) halve the costs of data modifications, and (iv) reallocate less than 90% of data when adding a node to the cluster. Importantly, we can calculate the corresponding ILP-based heuristic solutions within a few seconds. Finally, we demonstrate that the ideas of our ILP-based heuristics are also applicable to the index selection problem.
We study a heterogeneous diffusion process (HDP) with position-dependent diffusion coefficient and Poissonian stochastic resetting.
We find exact results for the mean squared displacement and the probability density function. The nonequilibrium steady state reached in the long time limit is studied.
We also analyse the transition to the non-equilibrium steady state by finding the large deviation function.
We found that similarly to the case of the normal diffusion process where the diffusion length grows like t (1/2) while the length scale xi(t) of the inner core region of the nonequilibrium steady state grows linearly with time t, in the HDP with diffusion length increasing like t ( p/2) the length scale xi(t) grows like t ( p ).
The obtained results are verified by numerical solutions of the corresponding Langevin equation.
Here we show that microgels trapped at a solid wall can issue liquid flow and transport over distances several times larger than the particle size.
The microgel consists of cross-linked poly(N-isopropylacrylamide-co-acrylic acid) (PNIPAM-AA) polymer chains loaded with cationic azobenzene-containing surfactant, which can assume either a trans-or a cis-state depending on the wavelength of the applied irradiation. The microgel, being a selective absorber of trans-isomers, responds by changing its volume under irradiation with light of appropriate wavelength at which the cis-isomers of the surfactant molecules diffuse out of the particle interior.
Together with the change in particle size, the expelled cis-isomers form an excess of the concentration and subsequent gradient in osmotic pressure generating a halo of local light-driven diffusioosmotic (l-LDDO) flow. The direction and the strength of the l-LDDO depends on the intensity and irradiation wavelength, as well as on the amount of surfactant absorbed by the microgel.
The flow pattern around a microgel is directed radially outward and can be maintained quasi-indefinitely under exposure to blue light when the trans-/cis-ratio is 2/1, establishing a photostationary state.
Irradiation with UV light, on the other hand, generates a radially transient flow pattern, which inverts from inward to outward over time at low intensities.
By measuring the displacement of tracer particles around neutral microgels during a temperature-induced collapse, we can exclude that a change in particle shape itself causes the flow, i.e., just by expulsion or uptake of water.
Ultimately, it is its ability to selectively absorb two isomers of photosensitive surfactant under different irradiation conditions that leads to an effective pumping caused by a self-induced diffusioosmotic flow.
Extracting information about past tectonic or climatic environmental changes from sedimentary records is a key objective of provenance research. Interpreting the imprint of such changes remains challenging as signals might be altered in the sediment-routing system.
We investigate the sedimentary provenance of the Oligocene/Miocene Upper Austrian Northern Alpine Foreland Basin and its response to the tectonically driven exhumation of the Tauern Window metamorphic dome (28 +/- 1 Ma) in the Eastern European Alps by using the unprecedented combination of Nd isotopic composition of bulk-rock clay-sized samples and partly previously published multi-proxy (Nd isotopic composition, trace-element geochemistry, U-Pb dating) sand-sized apatite single-grain analysis.
The basin offers an excellent opportunity to investigate environmental signal propagation into the sedimentary record because comprehensive stratigraphic and seismic datasets can be combined with present research results. The bulk-rock clay-sized fraction epsilon Nd values of well-cutting samples from one well on the northern basin slope remained stable at similar to-9.7 from 27 to 19 Ma but increased after 19 Ma to similar to-9.1. In contrast, apatite single-grain distributions, which were extracted from 22 drill-core samples, changed significantly around 23.3 Ma from apatites dominantly from low-grade (<upper amphibolite-facies) metamorphic sources with Permo-Mesozoic and late Variscan U-Pb ages and epsilon Nd values of -4.4 to dominantly high-grade metamorphic apatites with late Variscan U-Pb ages and epsilon Nd values of -2.2.
The change in apatite single-grain distributions at 23.3 Ma is interpreted to result from the exposure of a new Upper Austroalpine source nappe with less negative epsilon Nd values triggered by the ongoing Tauern Window exhumation. Combining these data with the clay-sized bulk-rock epsilon Nd values reveals that the provenance changed 4-5 Myrs later at 19 Ma in the clay-sized fraction.
Reasons for the delayed provenance-change recording are rooted in the characteristics of the applied methods.
Whereas single-grain distributions of orogen-wide sediment-routing systems can be dominated by geographically small areas with high erosion and mineral fertility rates, bulk-rock methods integrate over the entire drainage basin, thus diminishing extreme values. Hence, by combining these two methods, spatial information are uncovered, enabling a previously unattained understanding of the underlying environmental change.
This article merges theoretical literature on non-controlling minority shareholdings (NCMS) in a coherent model to study the effects of NCMS on competition and collusion. The model encompasses both the case of a common owner holding shares of rival firms as well as the case of cross ownership among rivals. We find that by softening competition, NCMS weaken the sustainability of collusion under a greater variety of situations than was indicated by earlier literature. Such effects exist, in particular, in the presence of an effective competition authority.